Fast vanishing point detection for unstructured road using Haar texture

The unstructured road detection is a challenging problem by the fact that many rural or desert roads are not well-paved, lack clear lane markers or boundaries. However, the ruts and tracks left by previous vehicles on the path commonly appear to converge into a single point, called as vanishing poin...

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Bibliographic Details
Published in2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC) pp. 167 - 170
Main Authors Yongzhong Wang, Xiaoyun Wang, Chenglin Wen
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.08.2012
Subjects
Accuracy
Computer vision
diversity voting
Estimation
Feature extraction
Gabor filters
Haar texture
Histograms
orthogonal rectification
Roads
vanishing point detection
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Summary:The unstructured road detection is a challenging problem by the fact that many rural or desert roads are not well-paved, lack clear lane markers or boundaries. However, the ruts and tracks left by previous vehicles on the path commonly appear to converge into a single point, called as vanishing point, which is successfully used to determine the road region. In this paper, we propose a novel and fast texture extraction method by utilizing the carefully designed Haar templates and the orthogonal rectification technique, and based on which the vanishing point of unstructured road is reliably estimated by the diversity voting method. Compared with the state-of-the-art algorithms in a variety of difficult conditions ranging from desert to snow environments, the experiment results demonstrate the effectiveness and efficiency of the proposed methodology in quantitative and qualitative analyses.
ISBN:9781467321921
1467321923
DOI:10.1109/ICSPCC.2012.6335718